Elementary Education Online Teaching Efficacy Analysis

Elementary school teachers' data from a study on online teaching efficacy during the COVID-19 pandemic. The dataset contains results from a comprehensive questionnaire, with a focus on technological support, student interaction, and course design. It is a small dataset at 5.5 KB, authored by Xiaofang Ma and last updated in March 2026.

Use Cases

• Analyze the relationship between Technological Support and Online Teaching Efficacy scores from the questionnaire.
• Examine patterns in Student Interaction data to understand its role in Sustained Interest during online learning.
• Investigate how Course Design variables correlate with Elementary School Teachers' reported efficacy.
• Assess the impact of Autonomous Learning conditions on findings from the study's fuzzy analysis.

Strengths

• Data is explicitly licensed under CC BY 4.0 for open use.
• Focuses on a critical period with tags indicating relevance to the '19 Pandemic'.
• Includes specific analytical themes such as Complex Causal Relationships and Critical Concern.

Limitations

• Extremely small scale at only 5.5 KB, suggesting very limited data volume.
• No column names, row counts, or sample data provided, hindering assessment of structure and completeness.
• Tags are fragmented and may not fully represent the dataset's core variables.

Provenance

Source

Figshare, authored by Xiaofang Ma.

Collection Method

Likely derived from a questionnaire study, as indicated by tags like 'Comprehensive Questionnaire'.

Time Range

Implied to be during the COVID-19 pandemic, based on tags.

Freshness

Last updated March 2026, indicating a future timestamp which may be an error.

Geography

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